Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory signature that defines specific depression subtypes and influences how patients respond ...

Researchers led by Prof. Alessandro Serretti at Kore University of Enna have identified a genetic inflammatory ...

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...

A conductive hydrogel transforms its random internal structure into a secure, unclonable signature, addressing the challenge ...

Explore the relationship between wildlife, habitats, and human impacts. Focus on wildlife management, conservation, and policy topics. At Michigan Tech, our master's in wildlife ecology and ...

Dan Shipper in Chain of Thought I’m writing a book about the worldview I’ve developed by writing, coding, and living with AI. Last week I published the first piece from it, about the differences ...